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Remote Machine Learning Engineer Jobs in Buffalo, NY

Legal Counsel II

Buffalo, NY ยท On-site +1

$104K - $130K/yr

... continuous learning. * Innovation and Transformation: Champion legal innovation by implementing ... Preferred experience in the architectural, engineering, or construction industry. * Experience in ...

Software Application Specialist

Alabama, NY ยท Remote

$81K - $105K/yr

This is a remote position with approximately 50% travel. Qualified candidates can reside anywhere ... Design, develop, and deliver training curriculum, learning aids, and other instructional materials ...

Showing results 41-45

Remote Machine Learning Engineer information

See Buffalo, NY salary details

$30.5K

$124.7K

$187.4K

How much do remote machine learning engineer jobs pay per year?

As of Jul 28, 2026, the average yearly pay for remote machine learning engineer in Buffalo, NY is $124,734.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,300.00 and $150,100.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually. High compensation often reflects expertise, leadership roles, or working in competitive industries such as tech or finance, especially in organizations valuing AI development.

What are some typical challenges faced by Remote Machine Learning Engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role is unlikely to be fully replaced by AI itself. Instead, AI tools can augment their work by automating routine tasks, allowing MLEs to focus on complex problem-solving, model optimization, and system integration. Continuous learning and expertise in programming, data handling, and model evaluation remain essential for MLEs in an evolving AI landscape.

What are the key skills and qualifications needed to thrive in the Remote Machine Learning Engineer position, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What is a Remote Machine Learning Engineer job?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

Can ML engineers work remotely?

Yes, many machine learning engineers work remotely, especially in roles that involve programming, data analysis, and model development using tools like Python, TensorFlow, or PyTorch. Remote work arrangements depend on the employer's policies and the specific project requirements, but it is common in the tech industry for ML engineers to work from home or other locations.
What are the most commonly searched types of Machine Learning Engineer jobs in Buffalo, NY? The most popular types of Machine Learning Engineer jobs in Buffalo, NY are:
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What job categories do people searching Remote Machine Learning Engineer jobs in Buffalo, NY look for? The top searched job categories for Remote Machine Learning Engineer jobs in Buffalo, NY are:
What cities near Buffalo, NY are hiring for Remote Machine Learning Engineer jobs? Cities near Buffalo, NY with the most Remote Machine Learning Engineer job openings:
Infographic showing various Remote Machine Learning Engineer job openings in Buffalo, NY as of July 2026, with employment types broken down into 91% Full Time, 5% Part Time, 3% Contract, and 1% Nights. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $124,734 per year, or $60 per hour.

Senior Solution Architect (AI Security)

Wittij Consulting

Boston, MA โ€ข On-site, Remote

Full-time

Medical, Retirement, PTO

Posted 22 days ago


Job description

Are you a multi-faceted architect ready for your next challenge? Smart, pragmatic, and someone who actually gets things done? Tired of being stuck in a corporate rut? Do you like flexing across domains, being the "go-to" for both business and tech, and mentoring others along the way?
Our mission is simple: help our clients get maximum value out of their technology investments. We assess enterprise architectures, design complex integrations, and provide architecture leadership for big, messy initiatives like mergers, modernizations, and cloud migrations. We don't do software development or run infrastructure. We're the trusted experts our clients lean on for the two questions that matter most:
  1. What should they do (enterprise architecture and planning), and
  2. How should they do it (solution architecture)?

Most of the time you're leading solution design on large, complex security projects: architecting end-to-end solutions and working through integration patterns, data flows, APIs, security, and the non-functional details that make or break a design. It's a hands-on seat AND a strategy-deck seat. The center of gravity is you in the thick of it, creating guardrails for security architeture in an AI-emergent world and owning the toughest solution designs yourself and stepping in when a domain needs reinforcement, a decision is stuck, or a design needs a second set of expert eyes.
Requirements
What we're really after: You're a seasoned solution architect who has worked within large, complex organizations and is technically current enough to design real solutions, not just hand down principles. You adeptly navigate organization politics and facilitate fact-based desicisons.
Concretely, that looks like:
  • Personally designing end-to-end solutions: integration patterns, data flows, APIs, security, and the non-functional stuff that makes or breaks a design.
  • Establishing, but also carrying enterprise standards and strategies into the projects you work on, and keeping designs aligned with them, without needing to own or police the governance machinery.
  • Ramping up quickly on new business capabilities and processes, quickly filling gaps in your knowledge so you can partnering with those business users and design solutions that fit how they actually operate.
  • Real breadth across application, data, and integration architecture, with genuine depth in data and modern data patterns, comfortable working across cloud and on-prem environments, and the judgment to evaluate vendors and platforms on the merits.
  • Translating fluently between the executive/business view and engineering reality, and defending a recommendation with facts and trade-offs in a room with either audience.
  • Financial services or other regulated-industry experience is a strong plus.

Bonus points (helpful for what's on our plate right now, but not required):
  • Experience in Health Care, ideally on the payer side.
  • Experience conducting security risk assessments for complex enterprise solutions .
  • A solid working knowledge of AI in large enterprises and sepcifically the security implications "on both sides of the fence."

Non-starters:
  • At this time we don't sponsor immigration applications (H-1B, etc.) and are only interested in direct candidates (no agencies). Background check is required.

Benefits
The comp for this role ranges (based on skills and experience) from $125K - $185K.
On top of that: generous PTO and paid holidays, a company-funded health reimbursement (QSEHRA) toward your insurance premiums and medical costs, and a 401(k) with company contribution. All fully remote, with a steady stream of diverse, high-impact projects and smart people to work alongside.
Ready for your next challenge? Send us an application and let's find out if we're a match.